High Risk →

unity_navmesh_bake

Bake the NavMesh for AI navigation. Optionally configure agent radius, height, slope, and climb.

How to control unity_navmesh_bake ↓

AI agents invoke unity_navmesh_bake to trigger actions in Unity MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Baking a NavMesh is an Execute-category action: it runs a potentially long computation in the Unity Editor and writes/overwrites the navigation mesh asset embedded in the scene. While it modifies data (Write), the 'bake' operation is an active computation trigger with side effects beyond simple data writes, and the result overwrites existing NavMesh data — making Execute the most accurate category.

From the tool's definition 'Bake the NavMesh for AI navigation' — baking is a computational process that triggers an external operation in the Unity Editor, modifying navigation mesh data baked into the scene/project assets.

Documented attack patterns abuse exactly the kind of access unity_navmesh_bake gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Unity MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for unity_navmesh_bake:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "unity_navmesh_bake": {
      "limits": [
        {
          "counter": "unity_navmesh_bake_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

unity_navmesh_bake stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Unity MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the unity_navmesh_bake tool do? +

Bake the NavMesh for AI navigation. Optionally configure agent radius, height, slope, and climb. It is categorised as a Execute tool in the Unity MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on unity_navmesh_bake? +

Register the Unity MCP Server MCP server in PolicyLayer and add a rule for unity_navmesh_bake: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Unity MCP Server. Nothing to install.

What risk level is unity_navmesh_bake? +

unity_navmesh_bake is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit unity_navmesh_bake? +

Yes. Add a rate_limit block to the unity_navmesh_bake rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block unity_navmesh_bake completely? +

Set action: deny in the PolicyLayer policy for unity_navmesh_bake. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides unity_navmesh_bake? +

unity_navmesh_bake is provided by the Unity MCP Server MCP server (anklebreaker-studio/unity-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Unity MCP Server tool call.

Deterministic rules across all 324 Unity MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

324 Unity MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.